unsplash-lite

# Unsplash Lite [Unsplash Lite Dataset](https://unsplash.com/data). This dataset contains: - a subset `default` with about 25k images and related keywords when available. Keywords are eparated by `;` and note that we kept only those where the confident score indicated by Unsplash is higher than 90% - a subset `embeddings_clip-ViT-B-32` which contains precomputed embeddings of the images via the [clip-ViT-B-32](https://huggingface.co/sentence-transformers/clip-ViT-B-32) model by OpenAI - a subset `embeddings_metaclip-2-worldwide-s16-384` which contains precomputed embeddings of the images via the [metaclip-2-worldwide-s16-384](https://huggingface.co/facebook/metaclip-2-worldwide-s16-384) model by Meta - a subset `embeddings_metaclip-2-worldwide-s16-384-eng-32768` which contains precomputed embeddings of the images via the [metaclip-2-worldwide-s16-384-eng-32768](https://huggingface.co/alphaedge-ai/metaclip-2-worldwide-s16-384-eng-32768) model by AlphaEdge These three precomputed embeddings subsets are useful for tutorial notebooks in the [Sentence Transformers documentation](https://sbert.net/examples/sentence_transformer/applications/image-search/README.html) showing how to use the lib to perform [(multi-lingual) 0-shot image classification](https://github.com/huggingface/sentence-transformers/blob/main/examples/sentence_transformer/applications/image-search/Image_Classification.ipynb), [monolingual](https://github.com/huggingface/sentence-transformers/blob/main/examples/sentence_transformer/applications/image-search/Image_Search.ipynb)/[multilingual](https://github.com/huggingface/sentence-transformers/blob/main/examples/sentence_transformer/applications/image-search/image_search_multilingual.ipynb), [image clustering](https://github.com/huggingface/sentence-transformers/blob/main/examples/sentence_transformer/applications/image-search/Image_Clustering.ipynb) and [image de-duplication](https://github.com/huggingface/sentence-transformers/blob/main/examples/sentence_transformer/applications/image-search/Image_Duplicates.ipynb). # License https://unsplash.com/license TL;DR: Unsplash images are designed to be used freely, and our license reflects this. - It is possible to download and use all the images for free - For commercial and non-commercial purposes - No permission required (an assignment will always be appreciated!) What is not allowed 👎 - It is not allowed to sell the images without significant modification. - Compiling images from Unsplash to replicate a similar or competing service. Credit to [lbourdois](https://huggingface.co/lbourdois) for collecting and uploading this dataset.